antonio vergari

University of Edinburgh

Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

antonio vergari (Preferred)
,
Antonio Vergari

Emails

Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.

****@aim.com
,
****@tuebingen.mpg.de
,
****@uniba.it
,
****@cs.ucla.edu
,
****@ed.ac.uk

Education & Career History

Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.

Lecturer
University of Edinburgh (ed.ac.uk)
2021Present
 
Postdoc
University of California, Los Angeles (ucla.edu)
20192021
 
Postdoc
Max-Planck Institute (mpg.de)
20182019
 
Postdoc
Max-Planck-Insitute for Intelligent Systems (tuebingen.mpg.de)
20182019
 
PhD student
University of Bari (uniba.it)
20152018
 
PhD student
Università degli Studi di Bari (uniba.it)
20152018
 

Advisors, Relations & Conflicts

Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.

Coworker
Robert Peharz
****@tue.nl
2017Present
 
Postdoc Advisor
Guy Van den Broeck
****@cs.ucla.edu
20192021
 
Coworker
Daniel Lowd
****@cs.uoregon.edu
20192019
 
Coworker
Tahrima Rahman
****@utdallas.edu
20192019
 
Postdoc Advisor
Isabel Valera
****@tuebingen.mpg.de
20182019
 
Coworker
Tameem Adel
****@cam.ac.uk
20182019
 
PhD Advisor
Kristian Kersting
****@cs.tu-darmstadt.de
20172018
 
PhD Advisor
Floriana Esposito
****@uniba.it
20152018
 
PhD Advisor
Nicola Di Mauro
****@uniba.it
20152018
 

Expertise

For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing

Anomaly Detection
2017Present
 
Deep Learning
2016Present
 
Representation Learning
2016Present
 
Multi-label Classification
2016Present
 
Probabilistic Learning
2015Present
 
Machine Learning, Probabilistic Graphical Models, Representation Learning
2015Present
 
Machine Learning
2014Present
 
Probabilistic Graphical Models
2014Present
 
Tractable Probabilistic Models
2014Present